WEKA videos
Data Mining with Weka
https://youtu.be/LcHw2ph6bss?list=PLm4W7_iX_v4NqPUjceOGd-OKNVO4c_cPD
Data Mining with Weka: Trailer
https://youtu.be/Exe4Dc8FmiM?list=PLm4W7_iX_v4NqPUjceOGd-OKNVO4c_cPD
Data Mining with Weka (1.1: Introduction)
https://youtu.be/nHm8otvMVTs?list=PLm4W7_iX_v4NqPUjceOGd-OKNVO4c_cPD
Data Mining with Weka (1.2: Exploring the Explorer)
https://youtu.be/BO6XJSaFYzk?list=PLm4W7_iX_v4NqPUjceOGd-OKNVO4c_cPD
Data Mining with Weka (1.3: Exploring datasets)
https://youtu.be/da-6IBnqzsg?list=PLm4W7_iX_v4NqPUjceOGd-OKNVO4c_cPD
Data Mining with Weka (1.4: Building a classifier)
https://youtu.be/XySEe4uNsCY?list=PLm4W7_iX_v4NqPUjceOGd-OKNVO4c_cPD
Data Mining with Weka (1.5: Using a filter )
https://youtu.be/U-1sTxmHE5U?list=PLm4W7_iX_v4NqPUjceOGd-OKNVO4c_cPD
Data Mining with Weka (1.6: Visualizing your data)
https://youtu.be/bUsPNNr6pvg?list=PLm4W7_iX_v4NqPUjceOGd-OKNVO4c_cPD
Data Mining with Weka (2.1: Be a classifier!)
https://youtu.be/FMiCOx95lAc?list=PLm4W7_iX_v4NqPUjceOGd-OKNVO4c_cPD
Data Mining with Weka (2.2: Training and testing)
https://youtu.be/7lFie7V__Gs?list=PLm4W7_iX_v4NqPUjceOGd-OKNVO4c_cPD
Data Mining with Weka (2.3: Repeated training and testing)
https://youtu.be/MrQhW4FyNW4?list=PLm4W7_iX_v4NqPUjceOGd-OKNVO4c_cPD
Data Mining with Weka (2.4: Baseline accuracy)
https://youtu.be/V0eL6MWxY-w?list=PLm4W7_iX_v4NqPUjceOGd-OKNVO4c_cPD
Data Mining with Weka (2.5: Cross-validation)
https://youtu.be/dGF475wS5eY?list=PLm4W7_iX_v4NqPUjceOGd-OKNVO4c_cPD
Data Mining with Weka (2.6: Cross-validation results)
https://youtu.be/uXo0ZCvtc7g?list=PLm4W7_iX_v4NqPUjceOGd-OKNVO4c_cPD
Data Mining with Weka (3.1: Simplicity first!)
https://youtu.be/2QjFgfjjRwk?list=PLm4W7_iX_v4NqPUjceOGd-OKNVO4c_cPD
Data Mining with Weka (3.2: Overfitting)
https://youtu.be/0IRLIByhPhA?list=PLm4W7_iX_v4NqPUjceOGd-OKNVO4c_cPD
Data Mining with Weka (3.3: Using probabilities)
https://youtu.be/l7R9NHqvI0Y?list=PLm4W7_iX_v4NqPUjceOGd-OKNVO4c_cPD
Data Mining with Weka (3.4: Decision trees)
https://youtu.be/ncR_6UsuggY?list=PLm4W7_iX_v4NqPUjceOGd-OKNVO4c_cPD
Data Mining with Weka (3.5: Pruning decision trees)
https://youtu.be/zjYUYJ2b4r8?list=PLm4W7_iX_v4NqPUjceOGd-OKNVO4c_cPD
Data Mining with Weka (3.6: Nearest neighbor)
https://youtu.be/fMxfUKYkcVg?list=PLm4W7_iX_v4NqPUjceOGd-OKNVO4c_cPD
Data Mining with Weka (4.1: Classification boundaries)
https://youtu.be/6tDnNyNZDF0?list=PLm4W7_iX_v4NqPUjceOGd-OKNVO4c_cPD
Data Mining with Weka (4.2: Linear regression)
https://youtu.be/YIxoyiN8lxo?list=PLm4W7_iX_v4NqPUjceOGd-OKNVO4c_cPD
Data Mining with Weka (4.3: Classification by regression)
https://youtu.be/ThmZU3dTIDo?list=PLm4W7_iX_v4NqPUjceOGd-OKNVO4c_cPD
Data Mining with Weka (4.4: Logistic regression)
https://youtu.be/WVkD-jURBDg?list=PLm4W7_iX_v4NqPUjceOGd-OKNVO4c_cPD
Data Mining with Weka (4.5: Support vector machines)
https://youtu.be/3GghLmJgbNY?list=PLm4W7_iX_v4NqPUjceOGd-OKNVO4c_cPD
Data Mining with Weka (4.6: Ensemble learning)
https://youtu.be/1Hg2JD2DYsI?list=PLm4W7_iX_v4NqPUjceOGd-OKNVO4c_cPD
Data Mining with Weka (5.1: The data mining process)
https://youtu.be/lfg6-RHVDmo?list=PLm4W7_iX_v4NqPUjceOGd-OKNVO4c_cPD
Data Mining with Weka (5.2: Pitfalls and pratfalls)
https://youtu.be/dF9bEH9JTfw?list=PLm4W7_iX_v4NqPUjceOGd-OKNVO4c_cPD
Data Mining with Weka (5.3: Data mining and ethics)
https://youtu.be/OcgW_Z_5Vac?list=PLm4W7_iX_v4NqPUjceOGd-OKNVO4c_cPD
Data Mining with Weka (5.4: Summary)
